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Title: Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1456615
Report Number(s):
SAND2017-4198C
652657
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Salishan Conference on High-Speed Computing held April 24-27, 2017 in Gleneden Beach, Oregon.
Country of Publication:
United States
Language:
English

Citation Formats

James, Conrad D. Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.. United States: N. p., 2017. Web.
James, Conrad D. Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.. United States.
James, Conrad D. 2017. "Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.". United States. https://www.osti.gov/servlets/purl/1456615.
@article{osti_1456615,
title = {Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.},
author = {James, Conrad D.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1456615}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Apr 01 00:00:00 EDT 2017},
month = {Sat Apr 01 00:00:00 EDT 2017}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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